ctr
Datasets
All datasets matching “ctr”CT-RATE
The CT-RATE Team organizes the VLM3D Challenge
VLM3D 2026 (2nd Edition) → Challenge Finals at MICCAI 2026
VLM3D 2025 (1st Edition) → Challenge Finals at MICCAI 2025 • Workshop at ICCV 2025
The CT-RATE Team is developing the MR-RATE Dataset
A large-scale brain MRI dataset with paired radiology reports for training 3D vision-language models.
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Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimhamamci/CT-RATE.CT-RATE_Generated_Scans
Dataset Card for Synthetic Text-to-CT Scans - VLM3D Challenge
Dataset Details
Dataset Description
This dataset contains 1,000 synthetic 3D chest CT scans generated using the model introduced in
From Alignment to Synthesis: Contrastive Volumetric Grounding for Text-to-CT Generation (Molino et al., BMVC 2026).
The model was trained on the CT-RATE dataset, the largest publicly available collection of paired CT volumes and radiology reports.
It… See the full description on the dataset page: https://huggingface.co/datasets/dmolino/CT-RATE_Generated_Scans.CTRG-Chest-548K_volumeCT-RATE-VQA
CT-RATE-VQA Dataset
We constructed a large-scale CT-VQA dataset based on the ReXGroundingCT data \cite{rexct} to support model training and evaluation.For each case, CT volumes were processed along with their corresponding multi-class segmentation masks, where each mask channel represents a specific lesion type.
This dataset is designed for medical visual question answering (Med-VQA) tasks.
PutCab-CTR-Train50-V4
IdleMask review — passed (2026-09-19)
Reviewed by the dataset owner: observation.arm_active_mask is correct under the approved prefix-only rule. This section supersedes previous active/idle-mask descriptions below.
For each of the 50 episodes and each physical arm, only the initial contiguous wait before its first active sample may have mask 0. From the first active sample through the final frame, the mask is always 1, including intermediate waits, terminal holds, and repeated… See the full description on the dataset page: https://huggingface.co/datasets/Shiki42/PutCab-CTR-Train50-V4.ct-rate-medgemma-ready